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    CREATING LISTS OF DIGITAL CONTENT
    1.
    发明申请
    CREATING LISTS OF DIGITAL CONTENT 审中-公开
    创建数字内容列表

    公开(公告)号：WO2014159492A1

    公开(公告)日：2014-10-02

    申请号：PCT/US2014/023913

    申请日：2014-03-12

    Applicant: GOOGLE INC.

    Inventor： JAIN, Ankit ,  PATTERSON, Anna

    IPC: G06F17/30

    CPC classification number: G06F17/3053 ,  G06F17/30867

    Abstract: A server system, which manages distribution or download of content, may be configured to distribute content lists generated by users. In this regard, the server system may allow users to follow other users and/or particular individual content lists that may be made available by the server system. Accordingly, users of the server system may be allowed to become list producers and/or list followers. Distribution of the content lists may be based on one or more of: an indication by a user of a selection to follow another user, a match between user search criteria specified by the user and at least some of the data associated with the other user, a match between list search criteria specified by the user and at least some of the data of distributed list(s), and a match between the particular user recommendation ranking and ranking criteria specified by the user.

    Abstract translation: 管理内容的分发或下载的服务器系统可以被配置为分发用户生成的内容列表。 在这方面，服务器系统可以允许用户跟随服务器系统可以使其可用的其他用户和/或特定的单独的内容列表。 因此，可以允许服务器系统的用户成为列表生成器和/或列表关注者。 内容列表的分发可以基于以下中的一个或多个：用户指示跟随另一用户的选择，用户指定的用户搜索标准与与另一用户相关联的至少一些数据之间的匹配， 由用户指定的列表搜索条件与分布式列表的至少一些数据之间的匹配以及用户指定的特定用户推荐排名和排名标准之间的匹配。

    UNIFIED SEARCHABLE STORAGE FOR RESOURCE-CONSTRAINED AND OTHER DEVICES
    2.
    发明申请
    UNIFIED SEARCHABLE STORAGE FOR RESOURCE-CONSTRAINED AND OTHER DEVICES 审中-公开
    用于资源约束和其他设备的统一搜索存储

    公开(公告)号：WO2014113147A1

    公开(公告)日：2014-07-24

    申请号：PCT/US2013/073563

    申请日：2013-12-06

    Applicant: GOOGLE INC.

    Inventor： KIRAZCI, Ulas ,  BURNS, Brendan, D. ,  DAS, Abhishek ,  JAIN, Ankit ,  PATTERSON, Anna

    IPC: G06F17/30

    CPC classification number: G06F17/30554 ,  G06F17/30613

    Abstract: The present disclosure describes a data indexing and search service that resides locally on a computing device (e.g., a mobile phone) and that can host data for multiple applications on the device. By centralizing the storage of data as well as the search and query functions, unified search queries can be performed by the service.

    Abstract translation: 本公开描述了本地驻留在计算设备（例如，移动电话）上并且可以托管设备上的多个应用的​​数据的数据索引和搜索服务。 通过集中数据的存储以及搜索和查询功能，可以由服务执行统一的搜索查询。

    DETERMINING MEDIA CONSUMPTION PREFERENCES
    3.
    发明申请
    DETERMINING MEDIA CONSUMPTION PREFERENCES 审中-公开
    确定媒体消费优先

    公开(公告)号：WO2014176220A1

    公开(公告)日：2014-10-30

    申请号：PCT/US2014/034921

    申请日：2014-04-22

    Applicant: GOOGLE INC.

    Inventor： JAIN, Ankit ,  CHAI, Wei ,  PATTERSON, Anna ,  CHEN, Jindong

    IPC: G06Q30/00

    CPC classification number: G06F17/30554 ,  G06Q30/0255 ,  G06Q30/0631

    Abstract: Systems and methods are disclosed for determining media consumption preferences. A method may include accessing media consumption history associated with a user. The media consumption history may include at least one of media purchase history of the user, media viewing history of the user, and media listening history of the user. A media category preference of the user may be determined, based on the media consumption history. The media category preference may include a popularity indication for each of a plurality of media categories of media items in the media consumption history. Search results provided in response to a search query by the user and/or media recommendations prepared for the user may be scored based on the media category preference. The media may include a video, a movie, a TV show, a book, an audio recording, a music album and/or another type of digital media.

    Abstract translation: 公开了用于确定媒体消费偏好的系统和方法。 方法可以包括访问与用户相关联的媒体消费历史。 媒体消费历史可以包括用户的媒体购买历史，用户的媒体观看历史和用户的媒体收听历史中的至少一个。 可以基于媒体消费历史来确定用户的媒体类别偏好。 媒体类别偏好可以包括媒体消费历史中媒体项目的多个媒体类别中的每一个的流行度指示。 响应于用户的搜索查询提供的搜索结果和/或为用户准备的媒体推荐可以基于媒体类别偏好来评分。 媒体可以包括视频，电影，电视节目，书，音频记录，音乐相册和/或其他类型的数字媒体。

    METHODS AND APPARATUS RELATED TO AUTOMATICALLY REWRITING STRINGS OF TEXT
    6.
    发明申请
    METHODS AND APPARATUS RELATED TO AUTOMATICALLY REWRITING STRINGS OF TEXT 审中-公开
    与自动翻译文字相关的方法和装置

    公开(公告)号：WO2016036766A1

    公开(公告)日：2016-03-10

    申请号：PCT/US2015/047990

    申请日：2015-09-01

    Applicant: GOOGLE INC.

    Inventor： MENGLE, Advay ,  PATTERSON, Anna ,  DOGRULTAN, Ertan ,  DAVIDSON, James Christopher

    IPC: G06F17/27 ,  G06Q30/02

    CPC classification number: G06F17/241 ,  G06F17/272 ,  G06F17/274 ,  G06F17/2785 ,  G06Q30/0241

    Abstract: Methods and apparatus related to automatically rewriting a string of text utilizing one or more rewrite rules. Some implementations are directed to scoring rewrite rules based at least in part on user interactions with rewrites that are generated by applying the rewrite rules. Some implementations are directed to determining the effectiveness of a rewrite generated based on applying one or more rewrite rules to a string of text. In some of those implementations, the determination may be based at least in part on one or more characteristics of the string of text, one or more characteristics of the rewrite, and/or scores associated with the rewrite rules.

    Abstract translation: 与使用一个或多个重写规则自动重写一串文本有关的方法和设备。 一些实现旨在至少部分地基于用户通过应用重写规则生成的重写的交互来评分重写规则。 一些实现旨在确定基于将一个或多个重写规则应用于文本串而生成的重写的有效性。 在这些实现中的一些实现中，确定可以至少部分地基于文本串的一个或多个特征，重写的一个或多个特征和/或与重写规则相关联的分数。

    PERSONALIZED MEDIA TYPE SPECIFIC RANKING
    8.
    发明申请
    PERSONALIZED MEDIA TYPE SPECIFIC RANKING 审中-公开

    公开(公告)号：WO2014176191A3

    公开(公告)日：2014-10-30

    申请号：PCT/US2014/034869

    申请日：2014-04-22

    Applicant: GOOGLE INC.

    Inventor： JAIN, Ankit ,  KHANDELWAL, Abhinav ,  CHAI, Wei ,  ZIELINSKI, Piotr ,  ZHAO, Qisheng ,  CHEN, Jindong ,  PATTERSON, Anna ,  KIRAZCI, Ulas

    IPC: G06F17/30

    Abstract: Systems and method are disclosed personalizing search results. An example method for personalizing search results may include receiving from a user, a search query for a media item, identifying search results for the search query, and generating a score for each of a plurality of media items identified in the search results. The score for a corresponding one of the plurality of media items may be based on the search query and one or both of a personalized query independent score and/or a personalized query dependent score. The at least one personalized query independent and query dependent scores may be based on at least one media preference signal associated with the user. The search results may be ranked based on the generated score for each of the plurality of media items.

    METHOD TO PREDICT A COMMUNICATIVE ACTION THAT IS MOST LIKELY TO BE EXECUTED GIVEN A CONTEXT
    9.
    发明申请
    METHOD TO PREDICT A COMMUNICATIVE ACTION THAT IS MOST LIKELY TO BE EXECUTED GIVEN A CONTEXT 审中-公开
    预测最有可能执行的交流行为的方法

    公开(公告)号：WO2013192433A1

    公开(公告)日：2013-12-27

    申请号：PCT/US2013/046857

    申请日：2013-06-20

    Applicant: GOOGLE INC.

    Inventor： PATTERSON, Anna ,  ARADHYE, Hrishikesh ,  HUA, Wei ,  LEHMANN, Daniel ,  LIN, Ruei-Sung

    IPC: H04M1/725 ,  G06N99/00 ,  G06F15/18 ,  H04M1/60

    CPC classification number: G06N99/005 ,  H04M1/6008 ,  H04M1/72566 ,  H04M1/72569 ,  H04M1/72572 ,  H04M2250/06

    Abstract: Disclosed are apparatus and methods for providing machine-learning services. A context-identification system executing on a mobile platform can receive data comprising context-related data associated with the mobile platform and application-related data received from the mobile platform. The context- identification system can identify a context using the context-related data associated with the mobile platform and/or the application-related data received from the mobile platform. Based on at least one context identified, context- identification system can predict a communicative action associated with the mobile platform by performing a machine-learning operation on the received data. An instruction can be received to execute the communicative action associated with the mobile platform.

    Abstract translation: 公开了用于提供机器学习服务的装置和方法。 在移动平台上执行的上下文识别系统可以接收包括与移动平台相关联的上下文相关数据的数据和从移动平台接收的应用相关数据。 上下文识别系统可以使用与移动平台相关联的上下文相关数据和/或从移动平台接收的应用相关数据来识别上下文。 基于所识别的至少一个上下文，上下文识别系统可以通过对接收到的数据执行机器学习操作来预测与移动平台相关联的交互动作。 可以接收指令来执行与移动平台相关联的交互动作。

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